Job no: 494871
Work type: Contract, full-time
Categories: Bachelor Degree, Masters, PhD, Information Systems Technology
& Design, Others
We are seeking a highly motivated research fellow with a strong mathematical
background and with experience in deep learning, to conduct research on
machine learning in the presence of noise of arbitrary type. The successful
candidate will work closely with other team members to develop a comprehensive
learning theory for noisy datasets.
The goal of this project is to develop a unified mathematical framework for
dealing with arbitrary noise in a distributed network of autonomous AI
systems. We shall consider arbitrary noise not just in datasets, but also in
the model parameters of AI models. The scope of our project is inspired by
fundamental technical challenges that must be resolved before personalized AI
systems are able to interact and learn from one another (e.g. exchange AI
model parameters), without any unintended failures due to noise.
Specifically, we shall build a comprehensive theory for the trustworthiness of
data and AI models, develop general methods for noise detection tiered by
user-selected thresholds, and design robust systems for noisy distributed
learning on noisy data that are computationally efficient. We shall deal with
all types of noise, whether known or unknown, via a "universal" approach.
Duration of position: 1 year.
Required: PhD degree in computer science, mathematics, or data science
The candidate must have a strong mathematical background and must have
experience in deep learning.
An ideal candidate would have strong programming experience in Python.
Prior experience working with noisy datasets is a big bonus, but is not
Interested candidates should submit a current CV and copies of academic
transcripts (from both undergraduate and post-graduate studies), directly to
Ernest Chong (firstname.lastname@example.org) with the email subject header "AI
Research Fellow position for project on noisy data". We regret to inform that
only shortlisted candidates will be notified.
Applications close: 30 Nov 2021 Singapore Standard Time
Categories: Bachelor Degree, Information Systems Technology & Design,
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